Liangming Pan
56 papers · 2017–2026 · 9 venues · across top CS/AI venues
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Research topics
Artificial Intelligence
(37)
Core AI
(37)
Natural Language Processing
(34)
Machine Learning
(25)
Deep Learning
(18)
Learning Types Β· Machine Learning
(18)
Applications
(17)
Resources & Methods
(15)
Generation
(9)
Learning Types Β· Deep Learning
(9)
Knowledge & Reasoning
(7)
Core Methods
(6)
Reasoning
(6)
Optimization & Theory
(5)
Application Areas
(4)
Keywords
large language model
(25)
question answering
(7)
question generation
(5)
knowledge graph
(5)
reinforcement learning
(4)
logical reasoning
(4)
multi-hop reasoning
(4)
benchmark evaluation
(4)
zero-shot learning
(3)
knowledge base
(3)
information retrieval
(3)
mathematical reasoning
(3)
claim verification
(3)
text classification
(2)
representation learning
(2)
text style transfer
(2)
text generation
(2)
reading comprehension
(2)
symbolic reasoning
(2)
causal inference
(2)
Papers
LEDOM: Reverse Language Model
ACL 2026
Towards a Mechanistic Understanding of Large Reasoning Models: A Survey of Training, Inference, and Failures
ACL 2026
Towards Intrinsic Interpretability of Large Language Models: A Survey of Design Principles and Architectures
ACL 2026
AntiLeakBench: Preventing Data Contamination by Automatically Constructing Benchmarks with Updated Real-World Knowledge
ACL 2025
Aristotle: Mastering Logical Reasoning with A Logic-Complete Decompose-Search-Resolve Framework
ACL 2025
CausalEval: Towards Better Causal Reasoning in Language Models
NAACL 2025
Combating Multimodal LLM Hallucination via Bottom-Up Holistic Reasoning
AAAI 2025
ConciseRL: Conciseness-Guided Reinforcement Learning for Efficient Reasoning Models
EMNLP 2025
GΓΆdel Agent: A Self-Referential Agent Framework for Recursively Self-Improvement
ACL 2025
How Is LLM Reasoning Distracted by Irrelevant Context? An Analysis Using a Controlled Benchmark
EMNLP 2025
InductionBench: LLMs Fail in the Simplest Complexity Class
ACL 2025
Investigating the Transferability of Code Repair for Low-Resource Programming Languages
NAACL 2025
RuleArena: A Benchmark for Rule-Guided Reasoning with LLMs in Real-World Scenarios
ACL 2025
SeaKR: Self-aware Knowledge Retrieval for Adaptive Retrieval Augmented Generation
ACL 2025
TART: An Open-Source Tool-Augmented Framework for Explainable Table-based Reasoning
NAACL 2025
AKEW: Assessing Knowledge Editing in the Wild
EMNLP 2024
A Survey on Detection of LLMs-Generated Content
EMNLP 2024
Factcheck-Bench: Fine-Grained Evaluation Benchmark for Automatic Fact-checkers
EMNLP 2024
Faithful Logical Reasoning via Symbolic Chain-of-Thought
ACL 2024
Knowledge of Knowledge: Exploring Known-Unknowns Uncertainty with Large Language Models
ACL 2024
MMLONGBENCH-DOC: Benchmarking Long-context Document Understanding with Visualizations
NeurIPS 2024
Modeling Dynamic Topics in Chain-Free Fashion by Evolution-Tracking Contrastive Learning and Unassociated Word Exclusion
ACL 2024
MultiAgent Collaboration Attack: Investigating Adversarial Attacks in Large Language Model Collaborations via Debate
EMNLP 2024
Position: AI/ML Influencers Have a Place in the Academic Process
ICML 2024
Pride and Prejudice: LLM Amplifies Self-Bias in Self-Refinement
ACL 2024
SciAgent: Tool-augmented Language Models for Scientific Reasoning
EMNLP 2024
The Knowledge Alignment Problem: Bridging Human and External Knowledge for Large Language Models
ACL 2024
Towards Verifiable Generation: A Benchmark for Knowledge-aware Language Model Attribution
ACL 2024
Understanding Reasoning Ability of Language Models From the Perspective of Reasoning Paths Aggregation
ICML 2024
Attacking Open-domain Question Answering by Injecting Misinformation
IJCNLP 2023
Doolittle: Benchmarks and Corpora for Academic Writing Formalization
EMNLP 2023
Fact-Checking Complex Claims with Program-Guided Reasoning
ACL 2023
FollowupQG: Towards information-seeking follow-up question generation
IJCNLP 2023
INSTRUCTSCORE: Towards Explainable Text Generation Evaluation with Automatic Feedback
EMNLP 2023
Investigating Zero- and Few-shot Generalization in Fact Verification
IJCNLP 2023
Logic-LM: Empowering Large Language Models with Symbolic Solvers for Faithful Logical Reasoning
EMNLP 2023
MAF: Multi-Aspect Feedback for Improving Reasoning in Large Language Models
EMNLP 2023
Modeling What-to-ask and How-to-ask for Answer-unaware Conversational Question Generation
ACL 2023
On the Risk of Misinformation Pollution with Large Language Models
EMNLP 2023
QACheck: A Demonstration System for Question-Guided Multi-Hop Fact-Checking
EMNLP 2023
SCITAB: A Challenging Benchmark for Compositional Reasoning and Claim Verification on Scientific Tables
EMNLP 2023
Automatic True/False Question Generation for Educational Purpose
NAACL 2022
CoHS-CQG: Context and History Selection for Conversational Question Generation
COLING 2022
Interpreting the Robustness of Neural NLP Models to Textual Perturbations
ACL 2022
KHANQ: A Dataset for Generating Deep Questions in Education
COLING 2022
KQA Pro: A Dataset with Explicit Compositional Programs for Complex Question Answering over Knowledge Base
ACL 2022
Unsupervised Multi-hop Question Answering by Question Generation
NAACL 2021
Zero-shot Fact Verification by Claim Generation
ACL 2021
Expertise Style Transfer: A New Task Towards Better Communication between Experts and Laymen
ACL 2020
Exploring and Evaluating Attributes, Values, and Structures for Entity Alignment
EMNLP 2020
Exploring Question-Specific Rewards for Generating Deep Questions
COLING 2020
Hyperbolic Visual Embedding Learning for Zero-Shot Recognition
CVPR 2020
Semantic Graphs for Generating Deep Questions
ACL 2020
Zero-Shot Ingredient Recognition by Multi-Relational Graph Convolutional Network
AAAI 2020
Course Concept Extraction in MOOCs via Embedding-Based Graph Propagation
IJCNLP 2017
Prerequisite Relation Learning for Concepts in MOOCs
ACL 2017